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8 дней назад

Data Analytics Engineer (AI)

Формат работы
remote (только Canada/Central_america/South_america)
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Analytics Engineer (AI): Building and maintaining SQL-based data transformation layers, governed warehouse models, and AI-enabled data systems for business analytics with an accent on data quality, semantic documentation, and trustworthy metrics. Focus on translating ambiguous business requirements into production data products, diagnosing data incidents, and integrating LLMs and agentic coding tools into warehouse development.

Location: Remote within Canada, Central America, or South America

Company

hirify.global is a global network connecting companies with business, design, and technology talent through a fully remote workforce.

What you will do

  • Design, review, and ship SQL models that transform raw data into reliable data products.
  • Own and maintain the data transformation layer and data warehouse models.
  • Partner with Data Engineers to add, model, and publish new data sources.
  • Improve data quality, accuracy, coverage, lineage, access, retention, and warehouse usability.
  • Translate ambiguous business questions into modeled data, documenting business rules, definitions, and edge cases.
  • Collaborate with Business Analysts, Data Engineers, Data Scientists, and process owners to support data-driven decisions.

Requirements

  • Bachelor’s degree, preferably in Engineering or a related technical field.
  • 4+ years of experience in Analytics Engineering, Data Engineering, or Data Analytics with personally shipped production data models.
  • Expert-level SQL skills and working knowledge of Python.
  • Fluency with LLMs and agentic coding tools, including the ability to verify generated code and understand its limitations.
  • Experience with cloud data warehouses such as BigQuery or Snowflake, modern transformation frameworks, Git, orchestration tools, data modeling, and data governance.
  • Resumes and communication must be submitted in English.

Nice to have

  • Experience with Dataform, dbt, SQLMesh, Airflow, Cloud Composer, Dagster, or Prefect.
  • Familiarity with BI tools such as Tableau or Power BI.
  • Experience documenting semantic layers and enabling AI agents to use warehouse metadata.

Culture & Benefits

  • Fully remote work with a distributed workforce.
  • Collaboration across Business Analytics, Data Engineering, Data Science, and business operations.
  • Opportunities to improve internal AI tooling, agent playbooks, documentation, and warehouse development practices.
  • No visa sponsorship or visa assistance is offered.

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